AN ADDITIVE WEIGHTED FUZZY PROGRAMMING FOR ORDER ALLOCATION TO EACH SUPPLIER IN A SUPPLY CHAIN

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AMID AMIN; GHODSIPOUR S.H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download Full-Text

Persian Verion

View:

1,042

Download:

Cites:

Information Journal Paper

Title

AN ADDITIVE WEIGHTED FUZZY PROGRAMMING FOR ORDER ALLOCATION TO EACH SUPPLIER IN A SUPPLY CHAIN

Author(s)

AMID AMIN | GHODSIPOUR S.H. | Issue Writer Certificate

Keywords

SUPPLIER SELECTIONQ3

FUZZY MULTI OBJECTIVE DECISION MAKING SUPPLY CHAINQ3

Abstract

SUPPLIER SELECTION is one of the most important activities of purchasing departments because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer's company. SUPPLIER SELECTION is a multiple criteria decision making problem in which the objectives are not equally important. In practice, vagueness and imprecision of goals, constraints and parameters in this problem make decision making complicated. Simultaneously, in this model, vagueness of input data and varying importance of criteria are considered. In real situations, where decision makers (DM) face up to uncertain data, the proposed model can help them to find out the appropriate ordering from each supplier, and allows purchasing manager(s) to manage supply chain performance on cost, quality, and on time delivery, etc. In these cases, the theory of fuzzy sets is one of the best tools for handling uncertainty. In this paper, a weighted additive model is presented for fuzzy multiobjective SUPPLIER SELECTION problem. The model is explained by an illustrative example.

Cites

No record.

References

No record.

Cite

APA: Copy

AMID, AMIN, & GHODSIPOUR, S.H.. (2007). AN ADDITIVE WEIGHTED FUZZY PROGRAMMING FOR ORDER ALLOCATION TO EACH SUPPLIER IN A SUPPLY CHAIN. JOURNAL OF BUSINESS MANAGEMENT PERSPECTIVE (MANAGEMENT PERSPECTIVE), 6(23-24), 53-76. SID. https://sid.ir/paper/115563/en

Vancouver: Copy

AMID AMIN, GHODSIPOUR S.H.. AN ADDITIVE WEIGHTED FUZZY PROGRAMMING FOR ORDER ALLOCATION TO EACH SUPPLIER IN A SUPPLY CHAIN. JOURNAL OF BUSINESS MANAGEMENT PERSPECTIVE (MANAGEMENT PERSPECTIVE)[Internet]. 2007;6(23-24):53-76. Available from: https://sid.ir/paper/115563/en

IEEE: Copy

AMIN AMID, and S.H. GHODSIPOUR, “AN ADDITIVE WEIGHTED FUZZY PROGRAMMING FOR ORDER ALLOCATION TO EACH SUPPLIER IN A SUPPLY CHAIN,” JOURNAL OF BUSINESS MANAGEMENT PERSPECTIVE (MANAGEMENT PERSPECTIVE), vol. 6, no. 23-24, pp. 53–76, 2007, [Online]. Available: https://sid.ir/paper/115563/en

Related Journal Papers